Deploy PyCaret model baseline_dt_20250426_212853.pkl

app.py

@@ -1,11 +1,16 @@
 
 import streamlit as st
 import pandas as pd
+# Make sure to import the correct module dynamically based on the task
 from pycaret.classification import load_model, predict_model
 import os
 import warnings # Added to potentially suppress warnings
 import logging # Added for better debugging in the Space
 
+# --- Page Configuration (MUST BE FIRST STREAMLIT COMMAND) ---
+APP_TITLE = "my-pycaret-app"
+st.set_page_config(page_title=APP_TITLE, layout="centered")
+
 # Configure simple logging for the Streamlit app
 # Use Streamlit logger if available, otherwise basic config
 try:
@@ -17,9 +22,9 @@ except AttributeError: # Fallback for older Streamlit versions or different cont
     logger = logging.getLogger(__name__)
 
 
-# --- Configuration ---
+# --- Model Configuration ---
 MODEL_FILE = "model.pkl" # Relative path within the Space
-APP_TITLE = "my-pycaret-app"
+
 
 # --- Load Model ---
 # Use cache_resource for efficient loading
@@ -55,11 +60,11 @@ def get_model():
         logger.exception("Unexpected model loading error details:") # Log full traceback
         return None
 
+# --- Load the model ---
 model = get_model()
 
 # --- App Layout ---
-st.set_page_config(page_title=APP_TITLE, layout="centered")
-st.title(APP_TITLE)
+st.title(APP_TITLE) # Title now comes after page config and model loading attempt
 
 if model is None:
     st.error("Model could not be loaded. Please check the application logs in the Space settings for more details. Application cannot proceed.")